학술논문
Biotic interactions are an unexpected yet critical control on the complexity of an abiotically driven polar ecosystem
Document Type
Original Paper
Author
Lee, Charles K.; Laughlin, Daniel C.; Bottos, Eric M.; Caruso, Tancredi; Joy, Kurt; Barrett, John E.; Brabyn, Lars; Nielsen, Uffe N.; Adams, Byron J.; Wall, Diana H.; Hopkins, David W.; Pointing, Stephen B.; McDonald, Ian R.; Cowan, Don A.; Banks, Jonathan C.; Stichbury, Glen A.; Jones, Irfon; Zawar-Reza, Peyman; Katurji, Marwan; Hogg, Ian D.; Sparrow, Ashley D.; Storey, Bryan C.; Allan Green, T. G.; Cary, S. Craig
Source
Communications Biology. 2(1)
Subject
Language
English
ISSN
2399-3642
Abstract
Abiotic and biotic factors control ecosystem biodiversity, but their relative contributions remain unclear. The ultraoligotrophic ecosystem of the Antarctic Dry Valleys, a simple yet highly heterogeneous ecosystem, is a natural laboratory well-suited for resolving the abiotic and biotic controls of community structure. We undertook a multidisciplinary investigation to capture ecologically relevant biotic and abiotic attributes of more than 500 sites in the Dry Valleys, encompassing observed landscape heterogeneities across more than 200 km2 . Using richness of autotrophic and heterotrophic taxa as a proxy for functional complexity, we linked measured variables in a parsimonious yet comprehensive structural equation model that explained significant variations in biological complexity and identified landscape-scale and fine-scale abiotic factors as the primary drivers of diversity. However, the inclusion of linkages among functional groups was essential for constructing the best-fitting model. Our findings support the notion that biotic interactions make crucial contributions even in an extremely simple ecosystem.
Charles Lee, Daniel Laughlin et al. use structural equation modeling to analyze ecological data from more than 500 sites in the Antarctic Dry Valleys. They find that although abiotic factors are the primary drivers of biodiversity variation, biotic interactions are needed to explain the data fully and may play previously underestimated roles.
Charles Lee, Daniel Laughlin et al. use structural equation modeling to analyze ecological data from more than 500 sites in the Antarctic Dry Valleys. They find that although abiotic factors are the primary drivers of biodiversity variation, biotic interactions are needed to explain the data fully and may play previously underestimated roles.